Author, as appears in the article.: Del Bove A; Menéndez L; Manzi G; Moggi-Cecchi J; Lorenzo C; Profico A
Department: Història i Història de l'Art
URV's Author/s: Lorenzo Merino, Carlos
Keywords: Geometric morphometric-analysis traits skulls skeletal remains population morphology forensic anthropology bone age
Abstract: The study of sexual dimorphism in human crania has important applications in the fields of human evolution and human osteology. Current, the identification of sex from cranial morphology relies on manual visual inspection of identifiable anatomical features, which can lead to bias due to user's expertise. We developed a landmark-based approach to automatically map the sexual dimorphism signal on the human cranium. We used a sex-known sample of 228 individuals from different geographical locations to identify which cranial regions are most sexually dimorphic taking into account shape, form and size. Our results, which align with standard protocols, show that glabellar and supraciliary regions, the mastoid process and the nasal region are the most sexually dimorphic traits (with an accuracy of 73%). The accuracy increased to 77% if they were considered together. Surprisingly the occipital external protuberance resulted to be not sexually dimorphic but mainly related to variations in size. Our approach here applied could be expanded to map other variable signals on skeletal morphology.© 2023. Springer Nature Limited.
Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Letras / linguística Interdisciplinar Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: carlos.lorenzo@urv.cat
Author identifier: 0000-0001-5706-293X
Record's date: 2024-08-03
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.nature.com/articles/s41598-023-43007-y
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Scientific Reports. 13 (1): 16847-16847
APA: Del Bove A; Menéndez L; Manzi G; Moggi-Cecchi J; Lorenzo C; Profico A (2023). Mapping sexual dimorphism signal in the human cranium. Scientific Reports, 13(1), 16847-16847. DOI: 10.1038/s41598-023-43007-y
Article's DOI: 10.1038/s41598-023-43007-y
Entity: Universitat Rovira i Virgili
Journal publication year: 2023
Publication Type: Journal Publications